Triple

T9733177
Position Surface form Disambiguated ID Type / Status
Subject Kalibo E235994 entity
Predicate region P40 FINISHED
Object Region VI E235987 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Region VI | Statement: [Kalibo, region, Region VI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region VI
Context triple: [Kalibo, region, Region VI]
  • A. Region VI chosen
    Region VI, also known as Western Visayas, is an administrative region in the central Philippines comprising several provinces and islands, including Panay and Guimaras.
  • B. Region 5
    Region 5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. Region IX
    Region IX, also known as the Zamboanga Peninsula, is an administrative region in western Mindanao in the Philippines known for its diverse cultures and strategic coastal location.
  • D. Region III
    Region III, also known as Central Luzon, is a major administrative region in the Philippines recognized as a key agricultural and industrial hub on the island of Luzon.
  • E. Region 7
    Region 7 is the Federal Emergency Management Agency (FEMA) regional jurisdiction that oversees disaster preparedness, response, and recovery efforts for a specific group of Midwestern U.S. states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.